Jie Ying Wu
- Biomedical Engineering
- Surgery
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Peter KazanzidesNassir NavabLong QianSimon DiMaioKayvan NajarianCharles CockrellKevin R. WardMathias Unberath
- Topics
- Surgical Simulation and Training (17 papers)Anatomy and Medical Technology (9 papers)Soft Robotics and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Jie Ying Wu
65 papers receiving 594 citations
Peers
Comparison fields: 5 of 102
- Biomedical Engineering 222
- Surgery 221
- Computer Vision and Pattern Recognition 171
- Artificial Intelligence 85
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Jie Ying Wu
This map shows the geographic impact of Jie Ying Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jie Ying Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Ying Wu more than expected).
Fields of papers citing papers by Jie Ying Wu
This network shows the impact of papers produced by Jie Ying Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jie Ying Wu. The network helps show where Jie Ying Wu may publish in the future.
Co-authorship network of co-authors of Jie Ying Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Ying Wu. A scholar is included among the top collaborators of Jie Ying Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jie Ying Wu. Jie Ying Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 53 | |
| 18 | 13 | |
| 19 | Multimodal Communication in Face-to-Face Computer-Mediated Conversations | 7 |
| 20 | Multimodal Communication in Computer-Mediated Map Task Scenarios | 11 |
About Jie Ying Wu
Jie Ying Wu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Surgery, having authored 78 papers that have together received 611 indexed citations. Recurring topics across this work include Surgical Simulation and Training (17 papers), Anatomy and Medical Technology (9 papers) and Soft Robotics and Applications (8 papers). The work is most often cited by research in Health Informatics (13 citations), Computer Vision and Pattern Recognition (171 citations) and Human-Computer Interaction (29 citations). Jie Ying Wu has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Peter Kazanzides, Nassir Navab, Long Qian, Simon DiMaio, Kayvan Najarian, Charles Cockrell, Kevin R. Ward, Mathias Unberath, Yan Xia and Anton Deguet. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.